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Tobacco industry-funded research on standardised packaging: there are none so blind as those who will not see!

2014· article· en· W2108116152 on OpenAlexaboutno aff
Pascal Diethelm, Martin McKee

Bibliographic record

VenueTobacco Control · 2014
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicPharmaceutical industry and healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsTobacco industryPackaging and labelingBusinessEnvironmental healthMarketingMedicineAdvertisingPathology

Abstract

fetched live from OpenAlex

Support for standardised packaging of tobacco products seems to be reaching a tipping point. Australia has already adopted this measure. In New Zealand, legislation is in progress. Ireland and England have now committed to implementing standardised packs while many other countries, including Canada, Norway and Turkey are actively considering them. The tobacco industry, which has invested vast sums in the design of packs that appeal to new smokers, especially adolescents, is worried and, just as it did when bans on smoking in public places were being considered, is engaged in a wide-ranging and well-funded campaign to undermine the evidence.1 Laverty and colleagues warned about this, describing one such example using Australian data. They showed how the design of the study was such that it would have been virtually impossible to detect a significant effect.2 However, as we will now show, this was not an isolated incident. Their warning would seem to be justified by a working paper published on the website of the Department of Economics of the University of Zurich, entitled ‘The (Possible) Effect of Plain Packaging on the Smoking Prevalence of Minors in Australia: A Trend Analysis’,3 funded by Philip Morris International. Its authors also conclude that there is no evidence that standardised packaging works and Philip Morris has press released it,4 generating headlines such as ‘Plain packs derided as not working’5 and ‘New data proves plain pack cigarettes doesn’t dissuade young smokers’.6 However, as we shall show, once again, it was almost inevitable that the data and methods used would fail to detect any expected effect. The study looks at the ‘prevalence of smoking among Australians aged 14–17 years’, taking monthly prevalence …

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.777
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0030.012
Insufficient payload (model declined to judge)0.0080.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.466
GPT teacher head0.575
Teacher spread0.109 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations12
Published2014
Admission routes1
Has abstractyes

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